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> invisible(options(echo = TRUE))
> # estimate John Jackson's model using multinomRob
> #
> 
> options(width=130);
> 
> library(multinomRob)
Loading required package: rgenoud 
Loading required package: MASS 
Loading required package: mvtnorm 
> 
> # read John Jackson's replication dataset (PA 2002, Winter)
> #
> jjdat <- read.table(file="pareplic.asc", header=T);
> 
> #> names(jjdat)
> # [1] "Voivodship"    "ID"            "UD.KLD"        "SLD"
> # [5] "PSL"           "UP"            "Catholic"      "Other"
> # [9] "Constant"      "New.Jobs"      "Unemp"         "SOE"
> #[13] "Church.Att"    "Schooling"     "Age"           "Farmer"
> #[17] "Village"       "Suchoka.UD"    "Pawlak.PSL"    "Kwasn.SLD"
> #[21] "Zioqkowska.UP" "Voters"
> 
> jjuse <- jjdat;
> #total number of voters
> jjuse$TotalVotes   <- jjdat$Voters * 1000;
> jjuse$SLD      <- jjdat$SLD/100      *jjuse$TotalVotes;
> jjuse$PSL      <- jjdat$PSL/100      *jjuse$TotalVotes;
> jjuse$UP       <- jjdat$UP/100       *jjuse$TotalVotes;
> jjuse$Catholic <- jjdat$Catholic/100 *jjuse$TotalVotes;
> jjuse$Other    <- jjdat$Other/100    *jjuse$TotalVotes;
> jjuse$UD.KLD   <- jjdat$UD.KLD/100   *jjuse$TotalVotes;
> 
> jjuse$Age  <-  jjdat$Age /10;
> 
> ## Set parameters for Genoud
> zz.genoud.parms <- list( pop.size             = 3000,
+                         wait.generations      = 30,
+                         P5                    = 500,
+                         scale.domains         = 4,
+                         MemoryMatrix          = TRUE
+                         )
> 
> # estimate the model as done in the Mebane-Sekhon AJPS 2004 paper
> 
> load("jj.a.RData");
> starts <- muljj$mtanh$coeffvec;
> #starts[c(8,18,26,41)] <- muljj$mtanh$coeffvec[c(8,18,26,41)];
> 
> muljj <-
+   multinomRob(
+     list(SLD ~      New.Jobs + Unemp + SOE + Church.Att + Schooling + Age + Kwasn.SLD ,
+          PSL ~      New.Jobs + Unemp + SOE + Church.Att + Schooling + Age + Farmer + Village + Pawlak.PSL ,
+          UP ~       New.Jobs + Unemp + SOE + Church.Att + Schooling + Age + Zioqkowska.UP ,
+          Catholic ~ New.Jobs + Unemp + SOE + Church.Att + Schooling + Age ,
+          Other ~    New.Jobs + Unemp + SOE + Church.Att + Schooling + Age ,
+          UD.KLD ~   0 + Suchoka.UD ),
+     jjuse,
+     starting.values = starts,
+     genoud.parms = zz.genoud.parms,
+     print.level = 3);

Your Model (xvec):
                                                                       SLD PSL UP Catholic Other UD.KLD
(Intercept)/(Intercept)/(Intercept)/(Intercept)/(Intercept)/Suchoka.UD   1   1  1        1     1      1
New.Jobs/New.Jobs/New.Jobs/New.Jobs/New.Jobs/NA                          1   1  1        1     1      0
Unemp/Unemp/Unemp/Unemp/Unemp/NA                                         1   1  1        1     1      0
SOE/SOE/SOE/SOE/SOE/NA                                                   1   1  1        1     1      0
Church.Att/Church.Att/Church.Att/Church.Att/Church.Att/NA                1   1  1        1     1      0
Schooling/Schooling/Schooling/Schooling/Schooling/NA                     1   1  1        1     1      0
Age/Age/Age/Age/Age/NA                                                   1   1  1        1     1      0
Kwasn.SLD/Farmer/Zioqkowska.UP/NA/NA/NA                                  1   1  1        0     0      0
NA/Village/NA/NA/NA/NA                                                   0   1  0        0     0      0
NA/Pawlak.PSL/NA/NA/NA/NA                                                0   1  0        0     0      0
multinomRob(): Starting Values 
                                                                               SLD        PSL         UP   Catholic      Other
(Intercept)/(Intercept)/(Intercept)/(Intercept)/(Intercept)/Suchoka.UD  5.66912619  1.7769127  1.7849353 -7.0006175  3.0366228
New.Jobs/New.Jobs/New.Jobs/New.Jobs/New.Jobs/NA                        -6.51403948 -7.6804071 -3.6414493 -3.0152347 -5.2010288
Unemp/Unemp/Unemp/Unemp/Unemp/NA                                        0.65759851  0.8715998  0.7795474  2.2199546  0.5295341
SOE/SOE/SOE/SOE/SOE/NA                                                  0.53730118  0.5100859  0.7297451  0.1816632  0.8099406
Church.Att/Church.Att/Church.Att/Church.Att/Church.Att/NA              -2.17724923 -1.2110063 -1.7846946  2.9923219  0.1434862
Schooling/Schooling/Schooling/Schooling/Schooling/NA                   -0.38849600 -0.3472753 -0.2807769 -0.3592587 -0.4020018
Age/Age/Age/Age/Age/NA                                                  0.07302472  0.3791732  0.3476345  1.7556684  0.4781681
Kwasn.SLD/Farmer/Zioqkowska.UP/NA/NA/NA                                 0.57589082  1.9355415  0.7429386  0.0000000  0.0000000
NA/Village/NA/NA/NA/NA                                                  0.00000000  2.0936548  0.0000000  0.0000000  0.0000000
NA/Pawlak.PSL/NA/NA/NA/NA                                               0.00000000  0.9803691  0.0000000  0.0000000  0.0000000
                                                                           UD.KLD
(Intercept)/(Intercept)/(Intercept)/(Intercept)/(Intercept)/Suchoka.UD -0.2993371
New.Jobs/New.Jobs/New.Jobs/New.Jobs/New.Jobs/NA                         0.0000000
Unemp/Unemp/Unemp/Unemp/Unemp/NA                                        0.0000000
SOE/SOE/SOE/SOE/SOE/NA                                                  0.0000000
Church.Att/Church.Att/Church.Att/Church.Att/Church.Att/NA               0.0000000
Schooling/Schooling/Schooling/Schooling/Schooling/NA                    0.0000000
Age/Age/Age/Age/Age/NA                                                  0.0000000
Kwasn.SLD/Farmer/Zioqkowska.UP/NA/NA/NA                                 0.0000000
NA/Village/NA/NA/NA/NA                                                  0.0000000
NA/Pawlak.PSL/NA/NA/NA/NA                                               0.0000000
multinomRob(): starting fit = 42.62164 


Fri Mar  5 15:07:25 2004
Domains:
 -1.700738e+01   <=  X1   <=    2.834563e+01 
 -3.257020e+01   <=  X2   <=    1.954212e+01 
 -1.972796e+00   <=  X3   <=    3.287993e+00 
 -1.611904e+00   <=  X4   <=    2.686506e+00 
 -1.088625e+01   <=  X5   <=    6.531748e+00 
 -1.942480e+00   <=  X6   <=    1.165488e+00 
 -2.190742e-01   <=  X7   <=    3.651236e-01 
 -1.727672e+00   <=  X8   <=    2.879454e+00 
 -5.330738e+00   <=  X9   <=    8.884563e+00 
 -3.840204e+01   <=  X10  <=    2.304122e+01 
 -2.614799e+00   <=  X11  <=    4.357999e+00 
 -1.530258e+00   <=  X12  <=    2.550429e+00 
 -6.055032e+00   <=  X13  <=    3.633019e+00 
 -1.736376e+00   <=  X14  <=    1.041826e+00 
 -1.137520e+00   <=  X15  <=    1.895866e+00 
 -5.806624e+00   <=  X16  <=    9.677707e+00 
 -6.280964e+00   <=  X17  <=    1.046827e+01 
 -2.941107e+00   <=  X18  <=    4.901846e+00 
 -5.354806e+00   <=  X19  <=    8.924677e+00 
 -1.820725e+01   <=  X20  <=    1.092435e+01 
 -2.338642e+00   <=  X21  <=    3.897737e+00 
 -2.189235e+00   <=  X22  <=    3.648726e+00 
 -8.923473e+00   <=  X23  <=    5.354084e+00 
 -1.403885e+00   <=  X24  <=    8.423307e-01 
 -1.042904e+00   <=  X25  <=    1.738173e+00 
 -2.228816e+00   <=  X26  <=    3.714693e+00 
 -3.500309e+01   <=  X27  <=    2.100185e+01 
 -1.507617e+01   <=  X28  <=    9.045704e+00 
 -6.659864e+00   <=  X29  <=    1.109977e+01 
 -5.449896e-01   <=  X30  <=    9.083159e-01 
 -8.976966e+00   <=  X31  <=    1.496161e+01 
 -1.796293e+00   <=  X32  <=    1.077776e+00 
 -5.267005e+00   <=  X33  <=    8.778342e+00 
 -9.109868e+00   <=  X34  <=    1.518311e+01 
 -2.600514e+01   <=  X35  <=    1.560309e+01 
 -1.588602e+00   <=  X36  <=    2.647670e+00 
 -2.429822e+00   <=  X37  <=    4.049703e+00 
 -4.304587e-01   <=  X38  <=    7.174312e-01 
 -2.010009e+00   <=  X39  <=    1.206005e+00 
 -1.434504e+00   <=  X40  <=    2.390841e+00 
 -1.496686e+00   <=  X41  <=    8.980113e-01 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	179
	(2) Uniform Mutation.................. 	176
	(3) Boundary Mutation................. 	176
	(4) Non-Uniform Mutation.............. 	176
	(5) Polytope Crossover................ 	1764
	(6) Multiple Point Simple Crossover... 	176
	(7) Whole Non-Uniform Mutation........ 	176
	(8) Heuristic Crossover............... 	176
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 30
Population size       : 3000
Convergence Tolerance: 1.000000e-07

Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stoping
Using Out of Bounds Individuals.



Minimization Problem.



STARTING VALUES


The 2 best initial individuals are
 5.67	-6.51	 0.66	 0.54	-2.18	-0.39	 0.07	 0.58	 1.78	-7.68	 0.87	 0.51	-1.21	-0.35	 0.38	 1.94	 2.09	 0.98	 1.78	-3.64	 0.78	 0.73	-1.78	-0.28	 0.35	 0.74	-7.00	-3.02	 2.22	 0.18	 2.99	-0.36	 1.76	 3.04	-5.20	 0.53	 0.81	 0.14	-0.40	 0.48	-0.30	
fitness = 4.262164e+01

 2.64	-22.28	-0.72	-0.73	-8.99	 0.28	 0.35	 0.29	-1.56	-35.94	 4.05	 0.78	 2.84	-1.60	 1.55	 8.43	-5.13	 0.36	 3.02	 0.98	-1.70	 1.59	 0.57	-1.15	 1.62	 2.09	-16.03	 6.01	-3.25	-0.13	 9.42	 0.18	 1.08	 6.91	-19.81	 0.18	 2.23	 0.25	-1.30	 1.39	 0.48	
fitness = 5.575182e+02


The worst fit of the population is: 1.017313e+18




Generation#	    Solution Value

      0 	4.262164e+01
XXX
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      1 	4.252845e+01
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      2 	4.249276e+01
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      3 	4.248200e+01
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      4 	4.243557e+01
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      5 	4.242811e+01
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      6 	4.241946e+01
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      7 	4.241903e+01
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      8 	4.240131e+01
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      9 	4.239775e+01
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     10 	4.238321e+01
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     11 	4.237898e+01
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     12 	4.237845e+01
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     13 	4.237840e+01
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     14 	4.237737e+01
     15 	4.236721e+01
     16 	4.236423e+01
     17 	4.236321e+01
     18 	4.236202e+01
     19 	4.235385e+01
XXX
XXX
     20 	4.235031e+01
XXX
XXX
     21 	4.234582e+01
XXX
XXX
     22 	4.234563e+01
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     23 	4.234563e+01
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     24 	4.234563e+01
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     25 	4.234563e+01
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     26 	4.234562e+01
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XXX
     27 	4.234562e+01
XXX
     28 	4.234558e+01
XXX
     29 	4.234546e+01
XXX
XXX
     30 	4.234493e+01
XXX
XXX
     32 	4.234486e+01
     33 	4.234416e+01
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     34 	4.234334e+01
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     35 	4.234320e+01
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     36 	4.234278e+01
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     37 	4.234225e+01
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     38 	4.234214e+01
XXX
     39 	4.234209e+01
XXX
XXX
     40 	4.234201e+01
XXX
XXX
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     41 	4.234101e+01
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     42 	4.233988e+01
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     43 	4.233977e+01
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     44 	4.233969e+01
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XXX
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     45 	4.233938e+01
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     46 	4.233662e+01
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     47 	4.233635e+01
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     48 	4.233578e+01
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     49 	4.233496e+01
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     50 	4.233460e+01
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     51 	4.233452e+01
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     52 	4.233452e+01
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     53 	4.233450e+01
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     54 	4.233364e+01
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     55 	4.233305e+01
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     56 	4.233270e+01
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     57 	4.233134e+01
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     58 	4.232953e+01
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     59 	4.232823e+01
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     60 	4.232536e+01
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     61 	4.232527e+01
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     62 	4.232360e+01
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     63 	4.232343e+01
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     64 	4.232340e+01
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     65 	4.232337e+01
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     66 	4.232334e+01
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     67 	4.232334e+01
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     68 	4.232332e+01
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     69 	4.232326e+01
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     70 	4.232114e+01
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     71 	4.231971e+01
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     72 	4.231902e+01
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     73 	4.231730e+01
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     74 	4.231730e+01
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     75 	4.231729e+01
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     76 	4.231691e+01
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     77 	4.231679e+01
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     78 	4.231503e+01
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     79 	4.231402e+01
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     80 	4.231351e+01
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     81 	4.231326e+01
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     82 	4.231183e+01
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     83 	4.231052e+01
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     84 	4.231022e+01
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     85 	4.231006e+01
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     86 	4.230982e+01
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     87 	4.230957e+01
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     88 	4.230940e+01
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     89 	4.230934e+01
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     90 	4.230925e+01
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     91 	4.230919e+01
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     92 	4.230905e+01
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     93 	4.230883e+01
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     94 	4.230862e+01
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     95 	4.230845e+01
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     96 	4.230838e+01
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     97 	4.230822e+01
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     98 	4.230809e+01
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     99 	4.230800e+01
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    100 	4.230798e+01

Increasing Soft Maximum Generation Limit by 100 (MaxGenerations) to 200.
I'm doing this because the fitness is still improving.

XXX
    101 	4.230797e+01
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    102 	4.230796e+01
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    103 	4.230789e+01
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    104 	4.230788e+01
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    105 	4.230788e+01
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    106 	4.230788e+01
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    107 	4.230788e+01
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    108 	4.230788e+01
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    109 	4.230787e+01
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    110 	4.230787e+01
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    115 	4.230787e+01
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    116 	4.230786e+01
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    117 	4.230786e+01
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    118 	4.230786e+01
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    123 	4.230785e+01
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    124 	4.230785e+01
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    125 	4.230785e+01
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    126 	4.230785e+01
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    127 	4.230785e+01
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    128 	4.230785e+01
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    129 	4.230785e+01
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    134 	4.230783e+01
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    135 	4.230783e+01
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    136 	4.230782e+01
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    137 	4.230782e+01
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    138 	4.230782e+01
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    139 	4.230782e+01
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    140 	4.230782e+01
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    141 	4.230782e+01
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    147 	4.230780e+01
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    148 	4.230780e+01
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    149 	4.230780e+01
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    150 	4.230779e+01
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    151 	4.230775e+01
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    152 	4.230771e+01
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    153 	4.230768e+01
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    154 	4.230766e+01
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    155 	4.230766e+01
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    156 	4.230759e+01
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    157 	4.230753e+01
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    159 	4.230753e+01
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    160 	4.230753e+01
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    161 	4.230753e+01
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    162 	4.230753e+01
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    163 	4.230753e+01
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    164 	4.230753e+01
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    165 	4.230753e+01
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    166 	4.230752e+01
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    167 	4.230752e+01

WARNING: Turning Off MemoryMatrix because memory usage is too great.

XXX
    168 	4.230752e+01
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    169 	4.230752e+01
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    170 	4.230752e+01
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    171 	4.230752e+01
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    172 	4.230752e+01
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    173 	4.230752e+01
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    174 	4.230752e+01
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    175 	4.230752e+01
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    176 	4.230752e+01
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    177 	4.230752e+01
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    178 	4.230752e+01
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    179 	4.230752e+01
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    180 	4.230752e+01
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    181 	4.230752e+01
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    182 	4.230752e+01
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    183 	4.230752e+01
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    184 	4.230752e+01
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    185 	4.230752e+01
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    186 	4.230752e+01
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    187 	4.230752e+01
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    188 	4.230752e+01
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    189 	4.230752e+01
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    190 	4.230752e+01
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    191 	4.230752e+01
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    192 	4.230752e+01
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    193 	4.230752e+01
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    194 	4.230752e+01
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    195 	4.230752e+01
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    196 	4.230752e+01
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    197 	4.230752e+01
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    198 	4.230752e+01
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    199 	4.230752e+01
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    200 	4.230752e+01

Increasing Soft Maximum Generation Limit by 200 (MaxGenerations) to 400.
I'm doing this because the fitness is still improving.

XXX
    201 	4.230752e+01
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    202 	4.230752e+01
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    203 	4.230752e+01
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    204 	4.230752e+01
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    205 	4.230752e+01
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    206 	4.230752e+01
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    207 	4.230752e+01
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    208 	4.230752e+01
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    209 	4.230752e+01
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    210 	4.230752e+01
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    211 	4.230752e+01
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    212 	4.230752e+01
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    213 	4.230752e+01
XXX
    214 	4.230752e+01
XXX
    215 	4.230752e+01
XXX
    216 	4.230752e+01
XXX
    217 	4.230752e+01
XXX
    218 	4.230752e+01
XXX
    219 	4.230752e+01
XXX
    220 	4.230752e+01
XXX
    221 	4.230752e+01
XXX
    222 	4.230752e+01
XXX
    223 	4.230752e+01
XXX
    224 	4.230752e+01
XXX
    225 	4.230752e+01
XXX
    226 	4.230752e+01
XXX
    227 	4.230752e+01
XXX
    228 	4.230752e+01
XXX
    229 	4.230752e+01
XXX
    230 	4.230752e+01
XXX
    231 	4.230752e+01
XXX
    232 	4.230752e+01
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX

Soft Generation Wait Limit Hit.
No Improvement in 30 Generations

Best Fit Found at Generation 232
Fit Value = 4.230752e+01


Parameters at the Solution (value, gradient):

XXX
XXX
XXX
 X[ 1] :	5.669081e+00	G[ 1] :	3.935331e+01
 X[ 2] :	-6.519120e+00	G[ 2] :	1.844479e+01
 X[ 3] :	6.571800e-01	G[ 3] :	-4.771583e+00
 X[ 4] :	5.352471e-01	G[ 4] :	4.397036e+01
 X[ 5] :	-2.177198e+00	G[ 5] :	5.085357e+01
 X[ 6] :	-3.887221e-01	G[ 6] :	4.308761e+02
 X[ 7] :	7.288395e-02	G[ 7] :	5.564059e+02
 X[ 8] :	5.764113e-01	G[ 8] :	8.439292e-01
 X[ 9] :	1.776976e+00	G[ 9] :	-8.158916e+01
 X[10] :	-7.681172e+00	G[10] :	-7.872397e+00
 X[11] :	8.681258e-01	G[11] :	6.279747e-01
 X[12] :	5.100898e-01	G[12] :	-1.733905e+01
 X[13] :	-1.210972e+00	G[13] :	-6.244349e+01
 X[14] :	-3.470469e-01	G[14] :	-1.073677e+03
 X[15] :	3.794153e-01	G[15] :	-3.573069e+02
 X[16] :	1.935568e+00	G[16] :	-4.500586e+01
 X[17] :	2.093666e+00	G[17] :	-2.389407e+01
 X[18] :	9.731370e-01	G[18] :	0.000000e+00
 X[19] :	1.784908e+00	G[19] :	1.122944e+02
 X[20] :	-3.645734e+00	G[20] :	3.760090e+00
 X[21] :	7.795079e-01	G[21] :	1.442785e+01
 X[22] :	7.296876e-01	G[22] :	1.043757e+01
 X[23] :	-1.784762e+00	G[23] :	1.060001e+02
 X[24] :	-2.807250e-01	G[24] :	1.145057e+03
 X[25] :	3.475559e-01	G[25] :	4.815778e+02
 X[26] :	7.320620e-01	G[26] :	0.000000e+00
 X[27] :	-7.000621e+00	G[27] :	1.343299e+02
 X[28] :	-3.227387e+00	G[28] :	-1.070680e+00
 X[29] :	2.220479e+00	G[29] :	3.007937e+01
 X[30] :	1.878042e-01	G[30] :	-7.642258e-01
 X[31] :	2.992293e+00	G[31] :	6.605383e+01
 X[32] :	-3.590025e-01	G[32] :	1.021653e+03
 X[33] :	1.755862e+00	G[33] :	1.763762e+02
 X[34] :	3.036615e+00	G[34] :	3.433232e+01
 X[35] :	-5.200818e+00	G[35] :	2.621222e+00
 X[36] :	5.296766e-01	G[36] :	4.250091e+00
 X[37] :	8.099234e-01	G[37] :	-2.067999e+00
 X[38] :	1.436353e-01	G[38] :	1.248883e+01
 X[39] :	-4.020530e-01	G[39] :	-1.571451e+01
 X[40] :	4.782158e-01	G[40] :	1.651521e+02
 X[41] :	-3.271808e-01	G[41] :	0.000000e+00

Solution Found Generation 232
Number of Generations Run 242


Fri Mar  5 15:47:37 2004
Total run time : 0 hours 40 minutes and 12 seconds


LQD Results:
                                                                               SLD        PSL         UP   Catholic      Other
(Intercept)/(Intercept)/(Intercept)/(Intercept)/(Intercept)/Suchoka.UD  5.66908070  1.7769763  1.7849080 -7.0006214  3.0366148
New.Jobs/New.Jobs/New.Jobs/New.Jobs/New.Jobs/NA                        -6.51912020 -7.6811723 -3.6457337 -3.2273872 -5.2008176
Unemp/Unemp/Unemp/Unemp/Unemp/NA                                        0.65717997  0.8681258  0.7795079  2.2204792  0.5296766
SOE/SOE/SOE/SOE/SOE/NA                                                  0.53524711  0.5100898  0.7296876  0.1878042  0.8099234
Church.Att/Church.Att/Church.Att/Church.Att/Church.Att/NA              -2.17719840 -1.2109722 -1.7847618  2.9922934  0.1436353
Schooling/Schooling/Schooling/Schooling/Schooling/NA                   -0.38872214 -0.3470469 -0.2807250 -0.3590025 -0.4020530
Age/Age/Age/Age/Age/NA                                                  0.07288395  0.3794153  0.3475559  1.7558621  0.4782158
Kwasn.SLD/Farmer/Zioqkowska.UP/NA/NA/NA                                 0.57641128  1.9355684  0.7320620  0.0000000  0.0000000
NA/Village/NA/NA/NA/NA                                                  0.00000000  2.0936658  0.0000000  0.0000000  0.0000000
NA/Pawlak.PSL/NA/NA/NA/NA                                               0.00000000  0.9731370  0.0000000  0.0000000  0.0000000
                                                                           UD.KLD
(Intercept)/(Intercept)/(Intercept)/(Intercept)/(Intercept)/Suchoka.UD -0.3271808
New.Jobs/New.Jobs/New.Jobs/New.Jobs/New.Jobs/NA                         0.0000000
Unemp/Unemp/Unemp/Unemp/Unemp/NA                                        0.0000000
SOE/SOE/SOE/SOE/SOE/NA                                                  0.0000000
Church.Att/Church.Att/Church.Att/Church.Att/Church.Att/NA               0.0000000
Schooling/Schooling/Schooling/Schooling/Schooling/NA                    0.0000000
Age/Age/Age/Age/Age/NA                                                  0.0000000
Kwasn.SLD/Farmer/Zioqkowska.UP/NA/NA/NA                                 0.0000000
NA/Village/NA/NA/NA/NA                                                  0.0000000
NA/Pawlak.PSL/NA/NA/NA/NA                                               0.0000000

LQD sigma: 42.30752 


(multinomTanh):
Tanh Estimates
                                                                               SLD        PSL         UP   Catholic      Other
(Intercept)/(Intercept)/(Intercept)/(Intercept)/(Intercept)/Suchoka.UD  5.65097933  1.7414845  1.7960491 -6.8346560  3.0766713
New.Jobs/New.Jobs/New.Jobs/New.Jobs/New.Jobs/NA                        -6.54973776 -7.7103596 -3.6369530 -3.0505987 -5.1790091
Unemp/Unemp/Unemp/Unemp/Unemp/NA                                        0.68555172  0.9218504  0.7933684  2.3101301  0.4898769
SOE/SOE/SOE/SOE/SOE/NA                                                  0.54448994  0.5244726  0.7336060  0.3140069  0.7966148
Church.Att/Church.Att/Church.Att/Church.Att/Church.Att/NA              -2.14474160 -1.2462434 -1.7798405  2.9590174  0.1354598
Schooling/Schooling/Schooling/Schooling/Schooling/NA                   -0.38870902 -0.3467022 -0.2804542 -0.3629631 -0.4022384
Age/Age/Age/Age/Age/NA                                                  0.07222569  0.3872653  0.3437468  1.7240840  0.4726619
Kwasn.SLD/Farmer/Zioqkowska.UP/NA/NA/NA                                 0.57041564  1.9434040  0.7277235  0.0000000  0.0000000
NA/Village/NA/NA/NA/NA                                                  0.00000000  2.1077631  0.0000000  0.0000000  0.0000000
NA/Pawlak.PSL/NA/NA/NA/NA                                               0.00000000  0.9672052  0.0000000  0.0000000  0.0000000
                                                                           UD.KLD
(Intercept)/(Intercept)/(Intercept)/(Intercept)/(Intercept)/Suchoka.UD -0.3268984
New.Jobs/New.Jobs/New.Jobs/New.Jobs/New.Jobs/NA                         0.0000000
Unemp/Unemp/Unemp/Unemp/Unemp/NA                                        0.0000000
SOE/SOE/SOE/SOE/SOE/NA                                                  0.0000000
Church.Att/Church.Att/Church.Att/Church.Att/Church.Att/NA               0.0000000
Schooling/Schooling/Schooling/Schooling/Schooling/NA                    0.0000000
Age/Age/Age/Age/Age/NA                                                  0.0000000
Kwasn.SLD/Farmer/Zioqkowska.UP/NA/NA/NA                                 0.0000000
NA/Village/NA/NA/NA/NA                                                  0.0000000
NA/Pawlak.PSL/NA/NA/NA/NA                                               0.0000000

Tanh Sandwich SEs
                                                                              SLD        PSL         UP  Catholic      Other
(Intercept)/(Intercept)/(Intercept)/(Intercept)/(Intercept)/Suchoka.UD 2.05069333 3.55704516 2.33448222 5.0583180 2.01784598
New.Jobs/New.Jobs/New.Jobs/New.Jobs/New.Jobs/NA                        2.22094340 3.24996098 1.41144611 3.2707023 1.68459239
Unemp/Unemp/Unemp/Unemp/Unemp/NA                                       0.81009785 1.22352476 0.79645438 1.6233634 0.92075699
SOE/SOE/SOE/SOE/SOE/NA                                                 0.32298144 0.38657299 0.24462086 0.8099241 0.30177573
Church.Att/Church.Att/Church.Att/Church.Att/Church.Att/NA              0.39517501 0.50391228 0.42633824 0.6365671 0.40356181
Schooling/Schooling/Schooling/Schooling/Schooling/NA                   0.08949666 0.11069747 0.07498227 0.1611537 0.08647408
Age/Age/Age/Age/Age/NA                                                 0.34658358 0.61798769 0.35869815 0.8238454 0.31869352
Kwasn.SLD/Farmer/Zioqkowska.UP/NA/NA/NA                                0.05272105 0.93145901 0.07892073 0.0000000 0.00000000
NA/Village/NA/NA/NA/NA                                                 0.00000000 0.81239252 0.00000000 0.0000000 0.00000000
NA/Pawlak.PSL/NA/NA/NA/NA                                              0.00000000 0.07101804 0.00000000 0.0000000 0.00000000
                                                                          UD.KLD
(Intercept)/(Intercept)/(Intercept)/(Intercept)/(Intercept)/Suchoka.UD 0.2364448
New.Jobs/New.Jobs/New.Jobs/New.Jobs/New.Jobs/NA                        0.0000000
Unemp/Unemp/Unemp/Unemp/Unemp/NA                                       0.0000000
SOE/SOE/SOE/SOE/SOE/NA                                                 0.0000000
Church.Att/Church.Att/Church.Att/Church.Att/Church.Att/NA              0.0000000
Schooling/Schooling/Schooling/Schooling/Schooling/NA                   0.0000000
Age/Age/Age/Age/Age/NA                                                 0.0000000
Kwasn.SLD/Farmer/Zioqkowska.UP/NA/NA/NA                                0.0000000
NA/Village/NA/NA/NA/NA                                                 0.0000000
NA/Pawlak.PSL/NA/NA/NA/NA                                              0.0000000

TANH sigma: 35.59285 


**********************************

Iteration: 1 
using best non-genoud LQD sigma. Provided by Tanh.


Fri Mar  5 15:47:38 2004
Domains:
 -5.650979e+00   <=  X1   <=    1.695294e+01 
 -1.964921e+01   <=  X2   <=    6.549738e+00 
 -6.855517e-01   <=  X3   <=    2.056655e+00 
 -5.444899e-01   <=  X4   <=    1.633470e+00 
 -6.434225e+00   <=  X5   <=    2.144742e+00 
 -1.166127e+00   <=  X6   <=    3.887090e-01 
 -7.222569e-02   <=  X7   <=    2.166771e-01 
 -5.704156e-01   <=  X8   <=    1.711247e+00 
 -1.741484e+00   <=  X9   <=    5.224453e+00 
 -2.313108e+01   <=  X10  <=    7.710360e+00 
 -9.218504e-01   <=  X11  <=    2.765551e+00 
 -5.244726e-01   <=  X12  <=    1.573418e+00 
 -3.738730e+00   <=  X13  <=    1.246243e+00 
 -1.040107e+00   <=  X14  <=    3.467022e-01 
 -3.872653e-01   <=  X15  <=    1.161796e+00 
 -1.943404e+00   <=  X16  <=    5.830212e+00 
 -2.107763e+00   <=  X17  <=    6.323289e+00 
 -9.672052e-01   <=  X18  <=    2.901616e+00 
 -1.796049e+00   <=  X19  <=    5.388147e+00 
 -1.091086e+01   <=  X20  <=    3.636953e+00 
 -7.933684e-01   <=  X21  <=    2.380105e+00 
 -7.336060e-01   <=  X22  <=    2.200818e+00 
 -5.339522e+00   <=  X23  <=    1.779841e+00 
 -8.413626e-01   <=  X24  <=    2.804542e-01 
 -3.437468e-01   <=  X25  <=    1.031240e+00 
 -7.277235e-01   <=  X26  <=    2.183170e+00 
 -2.050397e+01   <=  X27  <=    6.834656e+00 
 -9.151796e+00   <=  X28  <=    3.050599e+00 
 -2.310130e+00   <=  X29  <=    6.930390e+00 
 -3.140069e-01   <=  X30  <=    9.420208e-01 
 -2.959017e+00   <=  X31  <=    8.877052e+00 
 -1.088889e+00   <=  X32  <=    3.629631e-01 
 -1.724084e+00   <=  X33  <=    5.172252e+00 
 -3.076671e+00   <=  X34  <=    9.230014e+00 
 -1.553703e+01   <=  X35  <=    5.179009e+00 
 -4.898769e-01   <=  X36  <=    1.469631e+00 
 -7.966148e-01   <=  X37  <=    2.389844e+00 
 -1.354598e-01   <=  X38  <=    4.063794e-01 
 -1.206715e+00   <=  X39  <=    4.022384e-01 
 -4.726619e-01   <=  X40  <=    1.417986e+00 
 -9.806953e-01   <=  X41  <=    3.268984e-01 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	179
	(2) Uniform Mutation.................. 	176
	(3) Boundary Mutation................. 	176
	(4) Non-Uniform Mutation.............. 	176
	(5) Polytope Crossover................ 	1764
	(6) Multiple Point Simple Crossover... 	176
	(7) Whole Non-Uniform Mutation........ 	176
	(8) Heuristic Crossover............... 	176
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 30
Population size       : 3000
Convergence Tolerance: 1.000000e-07

Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stoping
Using Out of Bounds Individuals.



Minimization Problem.



STARTING VALUES


The 2 best initial individuals are
 5.65	-6.55	 0.69	 0.54	-2.14	-0.39	 0.07	 0.57	 1.74	-7.71	 0.92	 0.52	-1.25	-0.35	 0.39	 1.94	 2.11	 0.97	 1.80	-3.64	 0.79	 0.73	-1.78	-0.28	 0.34	 0.73	-6.83	-3.05	 2.31	 0.31	 2.96	-0.36	 1.72	 3.08	-5.18	 0.49	 0.80	 0.14	-0.40	 0.47	-0.33	
fitness = 4.272126e+01

 6.25	-10.27	 1.69	 1.29	-3.46	-0.38	 0.15	 0.31	 2.86	-22.41	-0.60	 1.25	 0.13	-0.03	-0.39	-1.56	 3.27	 2.27	 4.28	-6.93	 1.67	 0.88	-0.60	-0.69	 0.82	 1.62	-14.08	-8.72	-0.47	 0.34	-1.75	-0.55	 2.53	 2.76	-4.91	 1.08	 1.56	-0.04	-0.37	 0.53	-0.34	
fitness = 2.057050e+02


The worst fit of the population is: 1.022756e+10




Generation#	    Solution Value

      0 	4.272126e+01
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
      1 	4.258740e+01
      2 	4.248144e+01
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
      3 	4.245594e+01
      4 	4.242929e+01
      5 	4.241909e+01
      6 	4.241233e+01
      7 	4.240821e+01
      8 	4.240511e+01
      9 	4.240321e+01
     10 	4.240132e+01
     11 	4.240030e+01
XXX
XXX
     12 	4.240000e+01
     13 	4.240000e+01
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
     14 	4.238751e+01
XXX
XXX
XXX
     15 	4.238659e+01
XXX
     16 	4.238236e+01
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
     17 	4.237247e+01
     18 	4.236681e+01
     20 	4.236673e+01
XXX
XXX
     21 	4.236533e+01
XXX
XXX
     23 	4.236530e+01
XXX
     24 	4.236530e+01
XXX
     25 	4.236529e+01
XXX
     26 	4.236529e+01
XXX
     27 	4.236529e+01
XXX
     28 	4.236528e+01
XXX
XXX
XXX
XXX
XXX
     29 	4.236362e+01
     31 	4.236184e+01
     32 	4.236095e+01
XXX
     33 	4.236088e+01
XXX
XXX
     34 	4.236082e+01
XXX
     35 	4.236082e+01
XXX
     36 	4.236082e+01
XXX
     37 	4.236081e+01
     38 	4.236081e+01
XXX
     39 	4.235985e+01
XXX
XXX
XXX
XXX
     40 	4.235677e+01
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
     41 	4.235423e+01
XXX
     42 	4.235386e+01
XXX
     43 	4.235365e+01
XXX
     44 	4.235316e+01
XXX
     45 	4.235313e+01
XXX
XXX
XXX
XXX
     46 	4.235299e+01
XXX
XXX
XXX
XXX
     47 	4.235292e+01
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
     48 	4.235286e+01
XXX
     49 	4.235275e+01
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
     50 	4.235261e+01
XXX
XXX
XXX
XXX
XXX
XXX
XXX
     51 	4.235254e+01
XXX
     52 	4.235016e+01
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
     53 	4.234798e+01
XXX
XXX
XXX
XXX
XXX
XXX
     54 	4.234629e+01
XXX
     55 	4.234628e+01
XXX
     56 	4.234611e+01
XXX
     57 	4.234600e+01
XXX
XXX
     58 	4.234599e+01
XXX
     59 	4.234567e+01
XXX
     60 	4.234253e+01
XXX
     61 	4.234149e+01
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
     62 	4.234103e+01
XXX
     63 	4.234089e+01
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
     64 	4.234058e+01
XXX
     65 	4.234056e+01
XXX
     66 	4.234054e+01
XXX
XXX
     67 	4.233970e+01
XXX
XXX
XXX
     68 	4.233952e+01
XXX
XXX
XXX
     69 	4.233880e+01
XXX
     70 	4.233878e+01
XXX
XXX
XXX
XXX
     71 	4.233870e+01
XXX
XXX
XXX
XXX
     72 	4.233863e+01
XXX
XXX
XXX
     73 	4.233859e+01
XXX
     74 	4.233855e+01
XXX
XXX
XXX
XXX
XXX
     75 	4.233827e+01
XXX
     76 	4.233823e+01
XXX
XXX
XXX
XXX
     77 	4.233818e+01
XXX
XXX
     78 	4.233804e+01
XXX
     79 	4.233803e+01
XXX
XXX
     80 	4.233802e+01
XXX
     81 	4.233802e+01
XXX
     82 	4.233802e+01
XXX
     83 	4.233801e+01
XXX
     84 	4.233801e+01
XXX
XXX
     85 	4.233801e+01
XXX
     86 	4.233801e+01
XXX
     87 	4.233801e+01
XXX
     88 	4.233801e+01
XXX
     89 	4.233801e+01
XXX
     90 	4.233801e+01
XXX
     91 	4.233801e+01
XXX
     92 	4.233800e+01
XXX
     93 	4.233800e+01
XXX
     94 	4.233800e+01
XXX
     95 	4.233800e+01
XXX
     96 	4.233800e+01
XXX
     97 	4.233800e+01
XXX
     98 	4.233800e+01
XXX
     99 	4.233800e+01
XXX
    100 	4.233800e+01

Increasing Soft Maximum Generation Limit by 100 (MaxGenerations) to 200.
I'm doing this because the fitness is still improving.

XXX
    101 	4.233800e+01
XXX
    102 	4.233800e+01
XXX
    103 	4.233800e+01
XXX
    104 	4.233800e+01
XXX
    105 	4.233800e+01
XXX
    106 	4.233800e+01
XXX
    107 	4.233800e+01
XXX
    108 	4.233800e+01
XXX
    109 	4.233800e+01
XXX
    110 	4.233800e+01
XXX
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    145 	4.233798e+01
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    161 	4.233699e+01
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    162 	4.233699e+01
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    163 	4.233697e+01

WARNING: Turning Off MemoryMatrix because memory usage is too great.

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    164 	4.233695e+01
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    197 	4.233647e+01
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    198 	4.233639e+01
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    199 	4.233606e+01
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    200 	4.233598e+01

Increasing Soft Maximum Generation Limit by 200 (MaxGenerations) to 400.
I'm doing this because the fitness is still improving.

    201 	4.233595e+01
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    202 	4.233591e+01
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    203 	4.233588e+01
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    204 	4.233583e+01
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    229 	4.233575e+01
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    250 	4.233563e+01
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    261 	4.233515e+01
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    262 	4.233511e+01
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    267 	4.233510e+01
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    281 	4.233509e+01
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    290 	4.233507e+01
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    296 	4.233469e+01
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    305 	4.233403e+01
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    399 	4.233392e+01
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    400 	4.233392e+01

Increasing Soft Maximum Generation Limit by 400 (MaxGenerations) to 800.
I'm doing this because the fitness is still improving.

XXX
    401 	4.233392e+01
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    402 	4.233392e+01
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    403 	4.233392e+01
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    404 	4.233392e+01
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    405 	4.233392e+01
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Soft Generation Wait Limit Hit.
No Improvement in 30 Generations

Best Fit Found at Generation 405
Fit Value = 4.233392e+01


Parameters at the Solution (value, gradient):

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 X[ 1] :	5.651000e+00	G[ 1] :	-1.951201e+02
 X[ 2] :	-6.549938e+00	G[ 2] :	-5.824214e+01
 X[ 3] :	6.931683e-01	G[ 3] :	-3.352136e+01
 X[ 4] :	5.459010e-01	G[ 4] :	-1.450572e+02
 X[ 5] :	-2.144751e+00	G[ 5] :	-5.119739e+01
 X[ 6] :	-3.888772e-01	G[ 6] :	-3.400667e+03
 X[ 7] :	7.224165e-02	G[ 7] :	-1.268649e+03
 X[ 8] :	5.652118e-01	G[ 8] :	-2.814737e+01
 X[ 9] :	1.741529e+00	G[ 9] :	-1.616412e+02
 X[10] :	-7.710394e+00	G[10] :	-1.627964e+01
 X[11] :	9.218149e-01	G[11] :	2.448029e+01
 X[12] :	5.256028e-01	G[12] :	-1.395153e+02
 X[13] :	-1.247345e+00	G[13] :	-1.149652e+02
 X[14] :	-3.464797e-01	G[14] :	-1.535729e+03
 X[15] :	3.871800e-01	G[15] :	1.023432e+02
 X[16] :	1.943450e+00	G[16] :	-7.327801e+01
 X[17] :	2.107787e+00	G[17] :	-1.842307e+01
 X[18] :	9.675613e-01	G[18] :	0.000000e+00
 X[19] :	1.796001e+00	G[19] :	1.537163e+01
 X[20] :	-3.636918e+00	G[20] :	2.611463e+01
 X[21] :	7.943035e-01	G[21] :	-6.937209e+00
 X[22] :	7.335627e-01	G[22] :	2.065149e+02
 X[23] :	-1.779848e+00	G[23] :	3.453083e+01
 X[24] :	-2.805992e-01	G[24] :	1.502004e+03
 X[25] :	3.435863e-01	G[25] :	5.081714e+02
 X[26] :	7.337231e-01	G[26] :	0.000000e+00
 X[27] :	-6.834718e+00	G[27] :	1.019646e+01
 X[28] :	-3.058577e+00	G[28] :	1.968052e+00
 X[29] :	2.309800e+00	G[29] :	2.353121e+00
 X[30] :	1.949100e-01	G[30] :	-2.605822e+00
 X[31] :	2.959243e+00	G[31] :	2.340932e+01
 X[32] :	-3.630775e-01	G[32] :	3.311739e+02
 X[33] :	1.724106e+00	G[33] :	4.244150e+01
 X[34] :	3.076770e+00	G[34] :	-5.015026e+01
 X[35] :	-5.179097e+00	G[35] :	-1.525687e+01
 X[36] :	4.898298e-01	G[36] :	2.751611e+01
 X[37] :	7.966258e-01	G[37] :	-4.103326e+01
 X[38] :	1.355588e-01	G[38] :	9.668792e-01
 X[39] :	-4.020565e-01	G[39] :	-4.269348e+01
 X[40] :	4.728199e-01	G[40] :	5.064961e+00
 X[41] :	-3.050060e-01	G[41] :	0.000000e+00

Solution Found Generation 405
Number of Generations Run 420


Fri Mar  5 17:05:50 2004
Total run time : 1 hours 18 minutes and 12 seconds

(iter 1 ): LQD Results:
                                                                               SLD        PSL         UP   Catholic      Other
(Intercept)/(Intercept)/(Intercept)/(Intercept)/(Intercept)/Suchoka.UD  5.65100030  1.7415291  1.7960007 -6.8347175  3.0767699
New.Jobs/New.Jobs/New.Jobs/New.Jobs/New.Jobs/NA                        -6.54993790 -7.7103937 -3.6369184 -3.0585770 -5.1790969
Unemp/Unemp/Unemp/Unemp/Unemp/NA                                        0.69316831  0.9218149  0.7943035  2.3097999  0.4898298
SOE/SOE/SOE/SOE/SOE/NA                                                  0.54590103  0.5256028  0.7335627  0.1949100  0.7966258
Church.Att/Church.Att/Church.Att/Church.Att/Church.Att/NA              -2.14475121 -1.2473448 -1.7798482  2.9592427  0.1355588
Schooling/Schooling/Schooling/Schooling/Schooling/NA                   -0.38887723 -0.3464797 -0.2805992 -0.3630775 -0.4020565
Age/Age/Age/Age/Age/NA                                                  0.07224165  0.3871800  0.3435863  1.7241062  0.4728199
Kwasn.SLD/Farmer/Zioqkowska.UP/NA/NA/NA                                 0.56521180  1.9434500  0.7337231  0.0000000  0.0000000
NA/Village/NA/NA/NA/NA                                                  0.00000000  2.1077872  0.0000000  0.0000000  0.0000000
NA/Pawlak.PSL/NA/NA/NA/NA                                               0.00000000  0.9675613  0.0000000  0.0000000  0.0000000
                                                                           UD.KLD
(Intercept)/(Intercept)/(Intercept)/(Intercept)/(Intercept)/Suchoka.UD -0.3050060
New.Jobs/New.Jobs/New.Jobs/New.Jobs/New.Jobs/NA                         0.0000000
Unemp/Unemp/Unemp/Unemp/Unemp/NA                                        0.0000000
SOE/SOE/SOE/SOE/SOE/NA                                                  0.0000000
Church.Att/Church.Att/Church.Att/Church.Att/Church.Att/NA               0.0000000
Schooling/Schooling/Schooling/Schooling/Schooling/NA                    0.0000000
Age/Age/Age/Age/Age/NA                                                  0.0000000
Kwasn.SLD/Farmer/Zioqkowska.UP/NA/NA/NA                                 0.0000000
NA/Village/NA/NA/NA/NA                                                  0.0000000
NA/Pawlak.PSL/NA/NA/NA/NA                                               0.0000000

(iter 1 ): LQD sigma: 42.33392 

WARNING: New fit is worse.  Stopping.
It may be a good idea to restart with a larger GENOUD population.
Warning message: 
NaNs produced in: sqrt(1 - Hdiag) 
> 
> summary(muljj, weights=TRUE);

Choice 1 : SLD Estimates and SE:
                  Est SE.Sand SE.OPG SE.Hess t.val.Sand
(Intercept)    5.6600  2.0500 0.3250 0.07220      2.760
New.Jobs      -6.5400  2.2200 0.1790 0.06390     -2.940
Unemp          0.6760  0.8100 0.1340 0.02890      0.835
SOE            0.5420  0.3230 0.0721 0.01010      1.680
Church.Att    -2.1600  0.3950 0.0500 0.01330     -5.450
Schooling     -0.3890  0.0895 0.0075 0.00282     -4.340
Age            0.0722  0.3470 0.0586 0.01240      0.208
Kwasn.SLD      0.5720  0.0527 0.0666 0.00564     10.900
NA             0.0000  0.0000 0.0000 0.00000        NaN
NA             0.0000  0.0000 0.0000 0.00000        NaN


Choice 2 : PSL Estimates and SE:
                 Est SE.Sand SE.OPG SE.Hess t.val.Sand
(Intercept)    1.750   3.560 0.3180 0.09010      0.493
New.Jobs      -7.700   3.250 0.2820 0.07670     -2.370
Unemp          0.905   1.220 0.1130 0.03430      0.740
SOE            0.520   0.387 0.0749 0.01230      1.350
Church.Att    -1.240   0.504 0.0590 0.01600     -2.450
Schooling     -0.347   0.111 0.0116 0.00316     -3.130
Age            0.385   0.618 0.0677 0.01710      0.622
Farmer         1.940   0.931 0.0710 0.02130      2.080
Village        2.100   0.812 0.0270 0.01630      2.590
Pawlak.PSL     0.969   0.071 0.1150 0.00500     13.600


Choice 3 : UP Estimates and SE:
                 Est SE.Sand   SE.OPG SE.Hess t.val.Sand
(Intercept)    1.790  2.3300 4.34e-01 0.09640      0.767
New.Jobs      -3.640  1.4100 6.61e-01 0.08560     -2.580
Unemp          0.789  0.7960 2.43e-01 0.03900      0.991
SOE            0.733  0.2450 1.82e-01 0.01350      2.990
Church.Att    -1.780  0.4260 8.25e-02 0.01800     -4.180
Schooling     -0.281  0.0750 1.53e-02 0.00374     -3.740
Age            0.345  0.3590 8.32e-02 0.01650      0.962
Zioqkowska.UP  0.729  0.0789 1.56e+06 0.00535      9.240
NA             0.000  0.0000 0.00e+00 0.00000        NaN
NA             0.000  0.0000 0.00e+00 0.00000        NaN


Choice 4 : Catholic Estimates and SE:
                 Est SE.Sand SE.OPG SE.Hess t.val.Sand
(Intercept)   -6.890   5.060 0.2890 0.11200     -1.360
New.Jobs      -3.100   3.270 0.3720 0.09170     -0.947
Unemp          2.290   1.620 0.1300 0.04130      1.410
SOE            0.277   0.810 0.0479 0.01540      0.342
Church.Att     2.970   0.637 0.0821 0.01700      4.670
Schooling     -0.362   0.161 0.0122 0.00405     -2.250
Age            1.730   0.824 0.0554 0.01950      2.100
NA             0.000   0.000 0.0000 0.00000        NaN
NA             0.000   0.000 0.0000 0.00000        NaN
NA             0.000   0.000 0.0000 0.00000        NaN


Choice 5 : Other Estimates and SE:
                 Est SE.Sand  SE.OPG SE.Hess t.val.Sand
(Intercept)    3.060  2.0200 0.30100 0.06560      1.520
New.Jobs      -5.190  1.6800 0.29000 0.05650     -3.080
Unemp          0.502  0.9210 0.13900 0.02660      0.546
SOE            0.801  0.3020 0.09100 0.00914      2.650
Church.Att     0.138  0.4040 0.03950 0.01160      0.342
Schooling     -0.402  0.0865 0.00754 0.00260     -4.650
Age            0.474  0.3190 0.05630 0.01140      1.490
NA             0.000  0.0000 0.00000 0.00000        NaN
NA             0.000  0.0000 0.00000 0.00000        NaN
NA             0.000  0.0000 0.00000 0.00000        NaN


Choice 6 : UD.KLD Estimates and SE:
                 Est SE.Sand  SE.OPG SE.Hess t.val.Sand
Suchoka.UD    -0.327   0.236 1710000  0.0126      -1.38
NA             0.000   0.000       0  0.0000        NaN
NA             0.000   0.000       0  0.0000        NaN
NA             0.000   0.000       0  0.0000        NaN
NA             0.000   0.000       0  0.0000        NaN
NA             0.000   0.000       0  0.0000        NaN
NA             0.000   0.000       0  0.0000        NaN
NA             0.000   0.000       0  0.0000        NaN
NA             0.000   0.000       0  0.0000        NaN
NA             0.000   0.000       0  0.0000        NaN


LQD sigma: 42.30752 
TANH sigma: 35.59285 

Number of Observations: 49 
Number of observations with at least one zero weight: 1 
Number of zero weights: 1 
TANH: weights
   name weights:SLD weights:PSL weights:UP weights:Catholic weights:Other
1     1    1.000000    1.000000          1         0.813979             1
2     2    1.000000    1.000000          1         1.000000             1
3     3    1.000000    0.837653          1         0.147663             1
4     4    1.000000    1.000000          1         1.000000             1
5     5    0.482109    1.000000          1         1.000000             1
6     6    1.000000    1.000000          1         1.000000             1
7     7    1.000000    1.000000          1         1.000000             1
8     8    1.000000    1.000000          1         1.000000             1
9     9    1.000000    1.000000          1         1.000000             1
10   10    1.000000    1.000000          1         1.000000             1
11   11    1.000000    1.000000          1         1.000000             1
12   12    1.000000    1.000000          1         1.000000             1
13   13    0.674626    1.000000          1         1.000000             1
14   14    1.000000    1.000000          1         1.000000             1
15   15    0.983348    0.979527          1         1.000000             1
16   16    1.000000    1.000000          1         1.000000             1
17   17    1.000000    1.000000          1         1.000000             1
18   18    1.000000    1.000000          1         1.000000             1
19   19    1.000000    0.847904          1         1.000000             1
20   20    1.000000    1.000000          1         1.000000             1
21   21    1.000000    1.000000          1         1.000000             1
22   22    1.000000    1.000000          1         1.000000             1
23   23    1.000000    1.000000          1         1.000000             1
24   24    1.000000    1.000000          1         0.564807             1
25   25    1.000000    0.850682          1         1.000000             1
26   26    1.000000    1.000000          1         1.000000             1
27   27    1.000000    1.000000          1         1.000000             1
28   28    1.000000    1.000000          1         1.000000             1
29   29    0.948684    1.000000          1         1.000000             1
30   30    1.000000    1.000000          1         1.000000             1
31   31    1.000000    1.000000          1         1.000000             1
32   32    1.000000    1.000000          1         1.000000             0
33   33    1.000000    1.000000          1         1.000000             1
34   34    1.000000    1.000000          1         1.000000             1
35   35    1.000000    1.000000          1         1.000000             1
36   36    1.000000    1.000000          1         1.000000             1
37   37    1.000000    1.000000          1         1.000000             1
38   38    1.000000    1.000000          1         1.000000             1
39   39    1.000000    1.000000          1         1.000000             1
40   40    1.000000    1.000000          1         1.000000             1
41   41    1.000000    1.000000          1         1.000000             1
42   42    1.000000    1.000000          1         1.000000             1
43   43    1.000000    1.000000          1         1.000000             1
44   44    1.000000    1.000000          1         1.000000             1
45   45    1.000000    1.000000          1         1.000000             1
46   46    1.000000    1.000000          1         1.000000             1
47   47    1.000000    1.000000          1         1.000000             1
48   48    1.000000    1.000000          1         1.000000             1
49   49    1.000000    1.000000          1         1.000000             1
> 
> save(muljj, file="jj.bb.RData")
> proc.time()
[1] 6471.38  619.31 7105.41    0.01    0.00
> 
